FACULTY ELECTRICAL ENGINEERING AND COMPUTER SCIENCES COURSE TITLE UNDERWATERACOUSTICS

Faculty

Electrical Engineering and Computer Sciences

Course Title

Underwater-Acoustics and Sonar Signal Processing (USP)

Number of ECTS credits

6

Hours per week (SWS)

4

Semester

Master / Summer semester

Course objective

This module conveys a comprehensive knowledge and

understanding about underwater acoustics and sonar systems.

After completion of this module the students are able to

• evaluate Sound Velocity, Typical Sound Velocity Profiles,

Transmission Loss of Sound, Sound

Reflection/Transmission at Interfaces, Sound Scattering,

Ambient Noise, Sonar Performance Prediction

• perform modeling of sound propagation using Wave

Equation, Homogeneous Waveguide (Image Source and

Normal Mode Approach), Inhomogeneous Waveguide (Ray

Tracing)

• design sonar antennas having Continuous/Discrete

Apertures of Linear, Rectangular and Circular Shape,

evaluate Array Gain and Directivity Index

• process sonar signals considering Signal Processing

Chain, Quadrature Demodulation, Matched Filtering. Range

Resolution, Doppler Effect, Pulse Compression and Signal

Detection

• apply array signal processing methods with Conventional

Beamforming (Time / Frequency Domain), High Resolution

Methods (MVDR Beamformer, MUSIC Algorithm and

Maximum Likelihood DOA Estimation)

Prerequisites

No specific pre-conditions

Recommended reading

D. Kraus, Underwater Acoustics and Sonar Signal Processing,

lecture notes Hochschule Bremen

L.M. Brekhovskikh, Y.P. Lysanov, Fundamentals of Ocean

Acoustics, Springer, 2001

W.S. Burdic, Underwater Acoustic System Analysis, Prentice

Hall, 1991.

F. B. Jensen et al., Computational Ocean Acoustics, Springer,

2011

X. Lurton, An Introduction to Underwater Acoustics: Principles

and Applications, Springer, 2010

H. L. van Trees, Optimum Array Processing, Part 4 of

Detection, Estimation and Modulation Theory, Wiley, 2002

Teaching methods

Tuition in seminars (2 SWS),

laboratory exercises and projects (2 SWS)

Assessment methods

Oral examination (30 min)

or written work under supervision (90 min)

and scientific experimental work

Language of instruction

English

Name of lecturer

Prof. Dr.-Ing. Dieter Kraus

Email

[email protected]

Link

http://www.hs-bremen.de/internet/de/studium/stg/mscee/

Course content

• Fundamentals of Ocean Acoustics

• Sound Propagation Modeling

• Sonar Antenna Design

• Sonar Signal Processing

• Array Processing